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ORCIDLluís A. Belanche Muñoz
Person information
- affiliation: Polytechnic University of Catalonia, Barcelona, Spain
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2020 – today
- 2023
[j18]Lluís A. Belanche Muñoz, Malgorzata Wiejacha:
Analysis of Kernel Matrices via the von Neumann Entropy and Its Relation to RVM Performances. Entropy 25(1): 154 (2023)- 2020
- [j17]Argimiro Arratia
, Lluís A. Belanche, Luis Fábregues:
An Evaluation of Equity Premium Prediction Using Multiple Kernel Learning with Financial Features. Neural Process. Lett. 52(1): 117-134 (2020) - [c50]Bruno Ordozgoiti, Lluís A. Belanche Muñoz:
Off-the-Grid: Fast and Effective Hyperparameter Search for Kernel Clustering. ECML/PKDD (2) 2020: 399-415 - [i8]Bruno Ordozgoiti, Lluís A. Belanche Muñoz:
Off-the-grid: Fast and Effective Hyperparameter Search for Kernel Clustering. CoRR abs/2006.13567 (2020)
2010 – 2019
- 2019
- [j16]Elies Ramon, Lluís A. Belanche Muñoz, Miguel Pérez-Enciso:
HIV drug resistance prediction with weighted categorical kernel functions. BMC Bioinform. 20(1): 410:1-410:13 (2019) - [c49]Elies Ramon, Miguel Pérez-Enciso, Lluís A. Belanche Muñoz:
HIV Drug Resistance Prediction with Categorical Kernel Functions. IWBBIO (2) 2019: 233-244 - [c48]David Morán-Pomés, Lluís A. Belanche Muñoz:
Purity Filtering: An Instance Selection Method for Support Vector Machines. SGAI Conf. 2019: 21-35 - 2018
- [c47]Lluís A. Belanche:
Fast Supervised Selection of Prototypes for Metric-Based Learning. ICANN (2) 2018: 577-586 - 2017
- [j15]Miguel Betanzos, Marta R. Costa-jussà, Lluís Belanche:
Tradares: A Tool for the Automatic Evaluation of Human Translation Quality within a MOOC Environment. Appl. Artif. Intell. 31(3): 288-297 (2017) - [c46]Lluís Belanche, Marta R. Costa-jussà:
Bridging deep and kernel methods. ESANN 2017 - [c45]Luis Fábregues, Argimiro Arratia, Lluís Belanche:
Forecasting Financial Time Series with Multiple Kernel Learning. IWANN (2) 2017: 176-187 - 2016
- [j14]Félix F. González-Navarro, Margarita Stilianova-Stoytcheva, Livier Rentería-Gutiérrez, Lluís A. Belanche Muñoz, Brenda Leticia Flores Ríos, Jorge Eduardo Ibarra Esquer:
Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods. Sensors 16(11): 1483 (2016) - [c44]Matthew Saltz, Lluís A. Belanche Muñoz:
A New Kernelized Associative Memory and Some of Its Applications. ECAI 2016: 311-319 - [c43]Gabriel Prat-Masramon, Lluís A. Belanche:
Instance and feature weighted k-nearest-neighbors algorithm. ESANN 2016 - [c42]Albert Vilamala, Alfredo Vellido, Lluís A. Belanche:
Bayesian semi non-negative matrix factorisation. ESANN 2016 - [c41]Jaime Andrés-Merino, Lluís Belanche:
StreamLeader: A New Stream Clustering Algorithm not Based in Conventional Clustering. ICANN (2) 2016: 208-215 - [c40]Mauricio Peña, Argimiro Arratia, Lluís Belanche:
Multivariate Dynamic Kernels for Financial Time Series Forecasting. ICANN (2) 2016: 336-344 - 2015
- [c39]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Brenda Leticia Flores Ríos, Jorge Eduardo Ibarra Esquer:
Feature Selection in Spectroscopy Brain Cancer Data. MICAI (2) 2015: 282-296 - [i7]Gabriel Prat-Masramon, Lluís A. Belanche Muñoz:
Toward better feature weighting algorithms: a focus on Relief. CoRR abs/1509.03755 (2015) - [i6]Gabriel Prat-Masramon, Lluís A. Belanche Muñoz:
Double Relief with progressive weighting function. CoRR abs/1509.04265 (2015) - 2014
- [j13]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz:
Selección de características para datos de expresión de los genes mediante microarreglos usando recocido simulado guiado por la entropía conjunta multivariada. Computación y Sistemas 18(2) (2014) - [j12]Lluís Belanche, Vladimer Kobayashi, Tomàs Aluja:
Handling missing values in kernel methods with application to microbiology data. Neurocomputing 141: 110-116 (2014) - [c38]Albert Vilamala, Lluís Belanche:
Improving Stability of Feature Selection for Brain Tumour Diagnosis Using 1H-MRS Data. IWBBIO 2014: 1254-1265 - [c37]Livier Rentería-Gutiérrez, Félix Fernando González-Navarro, Margarita Stilianova-Stoytcheva, Lluís A. Belanche Muñoz, Brenda Leticia Flores Ríos, Jorge Eduardo Ibarra Esquer:
Glucose Oxidase Biosensor Modeling by Machine Learning Methods. MICAI (2) 2014: 464-473 - [c36]Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido:
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors. PRNI 2014: 1-4 - [c35]Gabriel Prat-Masramon, Lluís A. Belanche Muñoz:
Improved Stability of Feature Selection by Combining Instance and Feature Weighting. SGAI Conf. 2014: 35-49 - [i5]Lluís Belanche, Jerónimo Hernández-González:
Similarity networks for classification: a case study in the Horse Colic problem. CoRR abs/1403.4540 (2014) - 2013
- [j11]Lluís A. Belanche Muñoz, Alessandra Tosi:
Averaging of kernel functions. Neurocomputing 112: 19-25 (2013) - [c34]Lluís Belanche, Marco A. Villegas:
Kernel Functions for Categorical Variables with Application to Problems in the Life Sciences. CCIA 2013: 171-180 - [c33]Lluís Belanche:
Developments in kernel design. ESANN 2013 - [c32]Vladimer Kobayashi, Tomàs Aluja, Lluís Belanche:
Handling missing values in kernel methods with application to microbiology data. ESANN 2013 - [i4]Fernando González, Lluís A. Belanche Muñoz:
Feature Selection for Microarray Gene Expression Data using Simulated Annealing guided by the Multivariate Joint Entropy. CoRR abs/1302.1733 (2013) - [i3]Gabriel Prat-Masramon, Lluís Belanche:
Exploiting the Accumulated Evidence for Gene Selection in Microarray Gene Expression Data. CoRR abs/1303.0156 (2013) - 2012
- [c31]Lluís Belanche, Jerónimo Hernández-González:
Similarity networks for heterogeneous data. ESANN 2012 - [c30]Lluís Belanche, Alessandra Tosi:
Averaging of kernel functions. ESANN 2012 - [c29]Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido:
Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning. IJCNN 2012: 1-8 - [i2]Lluís A. Belanche Muñoz:
Understanding (dis)similarity measures. CoRR abs/1212.2791 (2012) - 2011
- [c28]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz:
Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data. CIBB 2011: 83-97 - [c27]Lluís Belanche, Jorge Orozco:
Things to Know about a (dis)similarity Measure. KES (1) 2011: 100-109 - [c26]Javier Alonso, Lluís Belanche, Dimiter R. Avresky:
Predicting Software Anomalies Using Machine Learning Techniques. NCA 2011: 163-170 - [c25]David Sánchez-Mendoza, Lluís A. Belanche Muñoz, Anicet R. Blanch:
A Software System for the Microbial Source Tracking Problem. WAPA 2011: 56-62 - [i1]Lluís A. Belanche Muñoz, Félix Fernando González-Navarro:
Review and Evaluation of Feature Selection Algorithms in Synthetic Problems. CoRR abs/1101.2320 (2011) - 2010
- [j10]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors. Neurocomputing 73(4-6): 622-632 (2010) - [c24]Fernando González, Lluís Belanche:
Differentiation of Glioblastomas and Metastases using 1H-MRS spectral data. BIOCOMP 2010: 414-420 - [c23]Gabriel Prat-Masramon, Lluís A. Belanche Muñoz:
Exploiting the Accumulated Evidence for Gene Selection in Microarray Gene Expression Data. ECAI 2010: 989-990
2000 – 2009
- 2009
- [j9]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz:
Gene subset selection in microarray data using entropic filtering for cancer classification. Expert Syst. J. Knowl. Eng. 26(1): 113-124 (2009) - [j8]Ignacio Barrio, Enrique Romero, Lluís Belanche:
An experimental study on methods for the selection of basis functions in regression. Neurocomputing 72(13-15): 2952-2963 (2009) - [j7]Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús:
Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database. Neurocomputing 72(13-15): 3085-3097 (2009) - [c22]Guillermo Nebot-Troyano, Lluís A. Belanche Muñoz:
A kernel extension to handle missing data. SGAI Conf. 2009: 165-178 - [c21]Gabriel Prat-Masramon, Lluís A. Belanche Muñoz:
Remainder Subset Awareness for Feature Subset Selection. SGAI Conf. 2009: 317-322 - [r3]Lluís A. Belanche Muñoz:
Feed-Forward Artificial Neural Network Basics. Encyclopedia of Artificial Intelligence 2009: 639-646 - [r2]Lluís A. Belanche Muñoz:
Learning in Feed-Forward Artificial Neural Networks I. Encyclopedia of Artificial Intelligence 2009: 1004-1011 - [r1]Lluís A. Belanche Muñoz:
Learning in Feed-Forward Artificial Neural Networks II. Encyclopedia of Artificial Intelligence 2009: 1012-1017 - 2008
- [j6]Lluís A. Belanche Muñoz, Anicet R. Blanch:
Machine learning methods for microbial source tracking. Environ. Model. Softw. 23(6): 741-750 (2008) - [j5]Lluís Belanche, Jorge Orozco:
On the design of metric relations. J. Convergence Inf. Technol. 3(3): 70-81 (2008) - [c20]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz:
Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification. ESANN 2008: 77-82 - [c19]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz:
Feature Selection in in vivo1H-MRS Single Voxel Spectra. KES (2) 2008: 197-205 - [p1]Lluís A. Belanche Muñoz:
Modeling Heterogeneous Data Sets with Neural Networks. Innovations in Hybrid Intelligent Systems 2008: 96-103 - 2007
- [j4]Lluís A. Belanche Muñoz, Julio Jose Valdes Ramos:
Similarity-based Heterogeneous Neural Networks. Eng. Lett. 14(2): 103-116 (2007) - [c18]Lluís Belanche, Juan Luis Vázquez, Miguel Vázquez:
Distance-Based Kernels for Real-Valued Data. GfKl 2007: 3-10 - [c17]Enrique Romero, Ignacio Barrio, Lluís Belanche:
Incremental and Decremental Learning for Linear Support Vector Machines. ICANN (1) 2007: 209-218 - [c16]Ignacio Barrio, Enrique Romero, Lluís Belanche:
Selection of Basis Functions Guided by the L2 Soft Margin. ICANN (1) 2007: 421-430 - [c15]Ignacio Barrio, Enrique Romero, Lluís Belanche:
Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors. ICANN (1) 2007: 431-440 - [c14]Lluís A. Belanche Muñoz:
Effective Learning with Heterogeneous Neural Networks. ICONIP (1) 2007: 328-337 - [c13]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz:
A Thermodynamical Search Algorithm for Feature Subset Selection. ICONIP (1) 2007: 683-692 - [c12]Ignacio Barrio, Enrique Romero, Lluís Belanche:
Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression. IJCNN 2007: 436-441 - 2006
- [c11]Ignacio Barrio, Enrique Romero, Lluís A. Belanche Muñoz:
On the selection of hidden neurons with heuristic search strategies for approximation. ESANN 2006: 389-394 - 2004
- [c10]Jorge Orozco, Lluís Belanche:
On aggregation operators of transitive similarity and dissimilarity relations. FUZZ-IEEE 2004: 1373-1377 - 2002
- [c9]Luis Carlos Molina, Lluís Belanche, Àngela Nebot:
Evaluating Feature Selection Algorithms. CCIA 2002: 216-227 - [c8]Luis Carlos Molina, Lluís Belanche, Àngela Nebot:
Feature Selection Algorithms: A Survey and Experimental Evaluation. ICDM 2002: 306-313 - [c7]Lluís A. Belanche Muñoz:
Evolutionary Optimization of Heterogeneous Problems. PPSN 2002: 475-484 - 2001
- [c6]Sergio Negri, Lluís Belanche:
Heterogeneous Kohonen Networks. IWANN (1) 2001: 243-252 - 2000
- [b1]Lluís A. Belanche Muñoz:
Heterogeneous neural networks: theory and applications. Polytechnic University of Catalonia, Spain, 2000 - [j3]Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas, Ignasi Rodríguez-Roda, Manel Poch:
Prediction of the bulking phenomenon in wastewater treatment plants. Artif. Intell. Eng. 14(4): 307-317 (2000) - [j2]Julio J. Valdés, Lluís A. Belanche Muñoz, René Alquézar:
Fuzzy heterogeneous neurons for imprecise classification problems. Int. J. Intell. Syst. 15(3): 265-276 (2000) - [c5]Lluís A. Belanche Muñoz:
Heterogeneous Neuron Models Based on Similarity. AAAI/IAAI 2000: 1063 - [c4]Lluís A. Belanche Muñoz:
Similarity-based Heterogeneous Neuron Models. ECAI 2000: 271-275
1990 – 1999
- 1999
- [j1]Lluís A. Belanche Muñoz, Julio J. Valdés, Joaquim Comas, Ignasi R.-Roda, Manel Poch:
Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques. Environ. Model. Softw. 14(5): 409-419 (1999) - [c3]Lluís Belanche, Julio J. Valdés:
Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks. IWANN (2) 1999: 863-873 - 1992
- [c2]Lluís Belanche, Miquel Sànchez-Marrè, Ulises Cortés, Pau Serra:
A Knowledge-based System for the Diagnosis of Waste-Water Treatment Plants. IEA/AIE 1992: 325-336 - 1991
- [c1]Lluís Belanche, Ulises Cortés:
The Nought Attributes in Knowledge-Based Systems. EUROVAV 1991: 77-102
Coauthor Index
aka: Félix F. González-Navarro
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